Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
List of some top machine learning algorithms. Just give a dive and explore the world of ML
PyLearn Practices
Chart.js plugin to calculate and draw statistical linear, exponential, power, logarithmic, and polynomial regressions.
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
Documentation Repository for Bug Handling in Firefox
This project demonstrates how machine learning models 🤖 can be used to predict stock prices 💹 based on historical data 📊, helping investors make informed decisions 💡.
Predicting house prices using Ridge Regression, Skewness transformation and Advanced Feature Engineering.
Shiny App: Calculation of Age-dependent Reference Intervals (AdRI)
An R Package for quickly performing regressions over many groups and evaluating leave-one-out prediction error.
Practice and become familiar with regressions
a npm package to compute linear regression in javascript
R files for the paper "Varieties as a Source of Law of One Price Deviations" by Fernando Borraz and Leandro Zipitría
This project aims to predict stock prices using Scikit-learn library and plotting a graph using Matplotlib.📈📊📉📋📆💰
A powerful alternative to solve complex math questions with symbols. It does not give replacement to anything; we simply wish to contribute to new and powerful features. We hope these will constantly be retained with new support and implementations over the course of time, eventually branching into other math-indused systems.
(now superseded by MLJLinearModels)
simpleTorchWrapper is a general framework for PyTorch classification and regression tasks. It wraps many functionalities in PyTorch to make the workflow simpler.
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